[Numpy-discussion] Deprecate matrices in 1.15 and remove in 1.17?

[Matthew Rocklin]

How would the community handle the scipy.sparse matrix subclasses?  These
are still in common use.

Somewhat related: https://github.com/scipy/scipy/issues/8162

On Thu, Nov 30, 2017 at 1:13 PM, <josef.pktd at gmail.com> wrote:

>
>
> On Thu, Nov 30, 2017 at 9:23 AM, Marten van Kerkwijk <
> m.h.vankerkwijk at gmail.com> wrote:
>
>> Hi All,
>>
>> I wondered if the move to python3-only starting with numpy 1.17 would
>> be a good reason to act on what we all seem to agree: that the matrix
>> class was a bad idea, with its overriding of multiplication and lack
>> of support for stacks of matrices.
>
>
> I don't think the matrix class was a bad idea at the time.
>
> numpy was the underdog, I came from GAUSS and Matlab and numpy
> arrays were just weird, especially loosing a dimension all the time
> and the heavy required use of np.newaxis.
> I guess nowadays kids don't learn `matrix` languages first anymore.
>
> recarrays are another half-hearted feature in numpy that is mostly
> obsolete with pandas and pandas_like DataFrames in other
> packages.
>
>
> (I don't mind the changes, but the deprecation cycle is often short,
> especially for users like me that update numpy only about every 3 main
> versions.)
>
> Josef
>
>
>> For 1.17, minimum python supposedly
>> is >=3.5, so we will be guaranteed to have the matrix multiply
>> operator @ available, and hence there is arguably even less of a case
>> for keeping the matrix class; removing it would allow taking out quite
>> a bit of accumulated special-casing (the immediate reasons for writing
>> this were gh-10123 and 10132).
>>
>> What do people think? If we do go in this direction, we might want to
>> add PendingDeprecationWarning for 1.15 (maybe DeprecationWarning for
>> python3; for python2 matrix would never disappear).
>>
> All the best,
>>
>> Marten
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>
>
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